use gemini and google collab

app.py

@@ -39,6 +39,9 @@ final_answer = FinalAnswerTool()
 # If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
 # model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 
 
+''' 
+#I don't have any credits anymore lets use alternative way
+
 model = HfApiModel(
 max_tokens=2096,
 temperature=0.5,
@@ -46,6 +49,10 @@ temperature=0.5,
 model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', 
 custom_role_conversions=None,
 )
+'''
+from google.colab import userdata
+model = LiteLLMModel(model_id="gemini/gemini-2.0-flash-lite", api_key=userdata.get('AIzaSyBzW2rm1bR317GGQAWFHnCxVxxpIomKOHw'))
+
 
 
 # Import tool from Hub